Intern Data Science (all genders) · Holidu Hosts GmbH

Fri, 24 Apr 2026 14:14:24 GMT
Engineering

Holidu Hosts GmbH · Munich, Germany · hybrid

Your Future Team

You will be part of the Business Intelligence department, which consists of the Data Science, Data Analytics, and Data Engineering teams. As an intern, you will be embedded in one of our cross-functional teams and work directly alongside experienced data scientists on Data Science projects to generate business impact.

Our Tech Stack

We use a flexible data science environment (Python, Sagemaker), database (AWS Stack: Redshift, Athena, Glue, S3), data pipelines (Airflow, DBT), data visualization (Looker), data analytics (SQL, Python), and collaboration (Git).

Your Role in This Journey

In this internship, you will take an active part in projects that have direct impact on business outcomes such as guest conversion, host revenue, and marketing efficiency. You will be supported and mentored by experienced data scientists, and have the opportunity to learn from a diverse team across Data Science, Analytics, and Engineering.

Responsibilities

Support the development of machine learning models (e.g. forecasting, churn prediction, recommendation systems, segmentation) using Python and SQL.

Explore, clean, and transform large datasets within our AWS environment (Redshift, Athena, S3)

Conduct exploratory data analysis (EDA) to uncover patterns and generate hypotheses.

Help evaluate model performance and interpret results in a business context.

Collaborate closely with teams such as Product, Marketing, and Revenue Management to understand their challenges and translate them into data science use cases.

Participate in team rituals, knowledge sharing sessions, and contribute your own ideas and perspectives to the team's ways of working and best practices.

Use AI tools to automate repetitive tasks and improve your workflow efficiency.

Your Backpack Is Filled With

Currently enrolled or recently completed a Bachelor’s or Master’s degree in a quantitative field (e.g. Data Science, Computer Science, Mathematics, Statistics or similar)

Solid understanding of Python and SQL.

Foundational knowledge of statistics and machine learning concepts (e.g. regression, classification, evaluation metrics).

Strong analytical and problem-solving skills, with attention to detail.

A proactive mindset and eagerness to learn in a fast-paced environment.

Our Adventure Includes

Compensation: Get a fair salary.

Impact: Make a difference for hundreds of thousands of monthly users.

Growth: Take responsibility from day one and develop through regular feedback.

Community: Engage with international, diverse, yet like-minded colleagues through regular events and 2 office days per week with your team.

Flexibility: Benefit from our hybrid work policy and the chance to work from other local offices for up to 8 weeks a year.

Fitness: Get a corporate Urban Sports Club subscription or a premium gym membership at a discounted rate.